Academic literature on the topic 'Traitement statistique et numérique du signal'
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Journal articles on the topic "Traitement statistique et numérique du signal"
Malti, Rachid, and Martial Leyney. "Do Ré Mi Fa Sol La S T M 32." J3eA 22 (2023): 1037. http://dx.doi.org/10.1051/j3ea/20231037.
Full textLOGETTE, P., P. GOUTIN, J. M. ROUVAEN, and E. BRIDOUX. "PROCESSEUR HYBRIDE PROGRAMMABLE POUR LE TRAITEMENT NUMÉRIQUE RÉCURSIF ET ITÉRATIF DU SIGNAL." Le Journal de Physique IV 02, no. C1 (April 1992): C1–1137—C1–1140. http://dx.doi.org/10.1051/jp4:19921251.
Full textGerber, Roland, and Gilles Privat. "Architecture parallèle et circuits VLSI pour le traitement numérique du signal et des images." Annales des Télécommunications 46, no. 1-2 (January 1991): 3–4. http://dx.doi.org/10.1007/bf02995430.
Full textAymen Labiod, Mohamed, Noureddine Doghmane, Amira Boulmaiz, and Mouhamadou Mansour Gueye. "Initiation aux systèmes embarqués à travers la mise en oeuvre de Réseaux de Capteurs Sans Fil (RCSF)." J3eA 21 (2022): 2054. http://dx.doi.org/10.1051/j3ea/20222054.
Full textGharbi, Mohamed, and Mohamed Aymen Labiod. "Une application comparative pour l’enseignement des méthodes de compression d’images par transformées orthogonales." J3eA 21 (2022): 2039. http://dx.doi.org/10.1051/j3ea/20222039.
Full textCascioli, Fiammetta, and Cécile Dejoux. "L’apprentissage du management en entreprise avec un MOOC : l’importance du profil managérial dans la définition des attentes." Question(s) de management 46, no. 5 (September 11, 2023): 111–21. http://dx.doi.org/10.3917/qdm.226.0111.
Full textThior, Mamadou. "Géomatique appliquée à la géomorphologie littorale : Contribution à la connaissance théorique des techniques d’analyse spatiale de l’évolution du linéaire côtier." European Scientific Journal, ESJ 17, no. 28 (August 31, 2021): 101. http://dx.doi.org/10.19044/esj.2021.v17n28p101.
Full textEl Kartouti, Salah Eddine, and Sarah Juidette. "L’impact de l’usage des TIC en éducation sur l’amélioration de l’apprentissage des élèves scolarisés, et les conséquences sur l’environnement." SHS Web of Conferences 175 (2023): 01015. http://dx.doi.org/10.1051/shsconf/202317501015.
Full textDufeu, Frédéric, Peter Manning, and Michael Clarke. "Des outils interactifs pour l’étude des méthodes de composition des musiques électroacoustiques : les logiciels TaCEM comme ressources pédagogiques." Revue Francophone Informatique et Musique 1, no. 1 (2022). http://dx.doi.org/10.56698/rfim.479.
Full textGräf, Albert. "Leçons tirées de l’enseignement de l’informatique musicale à des musicologues." Revue Francophone Informatique et Musique 1, no. 1 (2022). http://dx.doi.org/10.56698/rfim.530.
Full textDissertations / Theses on the topic "Traitement statistique et numérique du signal"
YE, Zi. "Traitement statistique de l'information et du signal pour l'internet des objets sous-marins." Thesis, Institut polytechnique de Paris, 2021. https://tel.archives-ouvertes.fr/tel-03179373.
Full textThere has been recently a large development of human activities associated to the ocean world, where no standard has emerged for the Internet of Things (IoT) linked to marine autonomous objects. Though it has a limited bandwidth, the acoustic wave is the only way to communicate over average to large distances and it is thus used by many underwater systems to communicate, navigate, or infer information about the environment. This led to a high demand for wireless networks that require both spectral efficiency and energy efficiency with the associated low-complexity algorithms. Therefore, in this Ph.D. thesis, we proposed several original solutions to face this challenge.Indeed, due to the inherent Signal Space Diversity (SSD), rotated constellations allow better theoretical performance than conventional constellations with no spectral spoilage. We review the structural properties of uniformly projected rotated M-QAM constellations, so as to propose a low complexity soft demapping technique for fading channels. Then, we present an original blind technique for the reduction of the PAPR for OFDM systems using the rotated constellations with SSD. In order to reduce the complexity of blind decoding for this technique, we again rely on the properties of uniformly projected M-QAM rotated constellations to design a low-complexity estimator. Moreover, to face the selectivity of the acoustic channel, we suggest a sparse adaptive turbo detector with only a few taps to be updated in order to lower down the complexity burden. Finally, we have proposed an original self-optimized algorithm for which the step-sizes of both the equalizer and the phase estimator are updated adaptively and assisted by soft-information in an iterative manner, so as to meet the requirement of fast convergence and low MSE over time-varying channels
Coulange, Baptiste. "Détection et correction de l’aliasing par extension du signal analytique aux images numériques." Paris 5, 2011. http://www.theses.fr/2011PA05S008.
Full textThis thesis focuses on the detection and correction of an artifact inherent to all digital acquisition : aliasing. First we study its effects on simples image modelisations. Particularly periodical structures on which aliasing occurs frequently. Then we can define a spectral aliasing link which characterize frequencies (or frequency domains) pairs linked by aliasing relation. In the same time, with an extention of analytic signal, we obtain analytic parts. The modulus of these complex images isn't much impacted by poor sampling. With this definition, we are able to locate on what place of the image occurs a given frequency domain. Bad sampled images contain a lot of frequency pairs in an spectral aliasing link which occurs on the same image domain, we are so able to build two aliasing detection methods with the a contrario framework. The images often used for image processing tests are not suited to the study of aliasing. We build a test database appropriate for the aliasing in order to validate our algorithm. We also use these algorithms to compare some existing earth observation systems, thanks to datas from CNES, with the aliasing point of view. With the results of the detection algorithms, we show with an oracle that a local no-aliasing hypothesis may be very useful for image interpolation
Salmon, Joseph. "Agrégation d'estimateurs et méthodes à patchs pour le débruitage d'images numériques." Paris 7, 2010. http://www.theses.fr/2010PA077195.
Full textThe problem studied in this thesis is denoising images corrupted by additive Gaussian white noise. The methods we use to get a better picture from a noisy one, are based on patches and are variations of the well known Non-Local Means. The contributions of this thesis are both practical and theoretical. First, we study precisely the influence of various parameters of the method. We highlight a limit observed on the treatment of edges by the usual patches based methods. Then, we give a better method to get pixel estimates by combining information from patches estimates. From a theoretical point of view we provide a non-asymptotic control of our estimators. The results proved are oracle inequalities, holding for a restrictive class of estimators, close to the form of the Non-Local Means estimetes. The techniques we use are based on aggregation of estimators, and more precisely on exponentially weighed aggregates. Typically, the last method requires a measure of the risk, that is obtained through a unbiased estimator of the risk. A common way to get such a mesure is to use the Stein Unbiased Risk Estimate (SURE). The denoising methods studied are analyzed numerically by simulations
Thai, Thanh Hai. "Modélisation et détection statistiques pour la criminalistique numérique des images." Phd thesis, Université de Technologie de Troyes, 2014. http://tel.archives-ouvertes.fr/tel-01072541.
Full textTrottier, Eric. "Développement d'une technique numérique d'autocorrélation d'intensité pour la recherche de minilentilles gravitationnelles dans le radio et de faibles variations temporelles rapides." Doctoral thesis, Université Laval, 2018. http://hdl.handle.net/20.500.11794/30256.
Full textFor the first time, we propose to apply a digital autocorrelation of intensity technique to gravitational minilensing in active galactic nuclei (AGNs) radio observations, and also to search weak rapid time variations. Essentially, the technique consists of detecting a cosmic (or artificial) signal (time delay) using intensity fluctuations as a function of time. The programming algorithm is coded in Matlab on a microcomputer and in C++ for multi-core parallel processing on a supercomputer. We validate the technique and softwares by showing weak periodic and non-periodic artificial signals detections. We could also find very fast time variations because radioastronomical interferometric data are sampled over very short times (e.g., 15.625 ns). Finally, numerical simulations make it possible to evaluate the detection efficiency of our innovative technique. The Fourier transform (FT) can also detect periodic signals. However, the main advantage of the autocorrelation of intensity is that it can detect non-periodic signals, while the FT cannot detect these non-periodic signals. Moreover, our technique allows a direct visualization of the shape of the signals, while it is very difficult to see the shape with a Fourier Transform. A novelty of the demonstration of our technique is that we use data taken with existing radio-interferometers (e.g., NRAO) in a standard format (e.g., Mark 5B) and therefore no specialized instrumentation is needed. We analyzed 22 objects. No signal has been detected for the ten minutes of VLBA of the NRAO observation for each object. From the null result obtained and a simplified statistical analysis by the binomial, we made a rough estimate of the present cosmic density parameter of non-baryonic compact minilenses, named Ωl, 0, uniformly distributed in the mass range, 10 – 107 solar masses, corresponding to delays of ~1 ms to ~600 s. For a flat model (currently favored) with cosmological constant λ0 = 0.7 and with Ω0 = 0.3, the estimated limit is Ωl, 0 ≤ 0.2 – 0.3. Given the low test sample, n = 22, the uncertainties (confidence intervals) obtained are too high to set a statistically significant constraint: small number statistics.
Bornard, Raphaël. "Approches probabilistes appliquées à la restauration numérique d'archives télévisées." Phd thesis, Ecole Centrale Paris, 2002. http://tel.archives-ouvertes.fr/tel-00657636.
Full textZarzoso, Vicente. "Traitement aveugle et semi-aveugle du signal pour les télécommunications et le génie biomédical." Habilitation à diriger des recherches, Université de Nice Sophia-Antipolis, 2009. http://tel.archives-ouvertes.fr/tel-00486872.
Full textCheruy, Pascale. "Étude de modèles de potentiels évoqués visuels en vue de la détection et de la classification des réponses en temps réel." Compiègne, 1990. http://www.theses.fr/1990COMPD256.
Full textA method is presented for single sweep analysis. It aims at increasing the average signal to noise ratio. A bibliographic study first describes different experimental protocols and classical signal processing including averaging, Wiener filter, and latency corrected averaging and adaptative filter. Three different models are tested : autoregressive model, kalman filtering and an original model based on Gaussian curves. A discriminant factor analysis is achieved using parameters derived from the three different models in order to separate a class of synthetic signals from a class of noise (EEG). A discriminant vector is calculated and used to classify single sweeps from different subjects. The selected averaging shows an increasing of the signal to noise ratio for every tested subject specially for the method based on Gaussian curves
Ceamanos, Garcia Xavier. "Evaluation des performances de l'analyse statistique et physique d'images hyperspectrales de Mars. Application au capteur multi-angulaire CRISM." Thesis, Grenoble, 2011. http://www.theses.fr/2011GRENU033/document.
Full textNew generation of imaging spectrometers are emerging in the field of space exploration by adding an additional view of measurement, the angular dimension. Multi-angle imaging spectroscopy is conceived to provide a more accurate characterization of planetary materials and a higher success in separating the signals coming from the atmosphere and the surface. The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) aboard the Mars Reconnaissance Orbiter is a hyperspectral camera that operates systematically in multi-angle mode from space. Nonetheless, multi-angle hyperspectral images are related to problems of manipulation, visualization and analysis because of their size and complexity. In this framework, this PhD thesis proposes robust statistical and physical algorithms to analyze images acquired by the CRISM instrument in an efficient manner. First, I propose a tailor-made data pipeline aimed at improving the radiometric quality of CRISM data and generating advanced products, the latter data being devised to perform fine analysis of the planet Mars. Second, I address the atmospheric correction of CRISM imagery by exploiting the multi-angle capabilities of this instrument. An innovative physically-based algorithm compensating for atmospheric effects is put forward in order to retrieve surface reflectance. This approach is particularly used in this thesis to infer the photometric properties of the materials coexisting in a specific site of Mars, the Gusev crater. Third, I perform an intercomparison of a selection of state-of-the-art techniques aimed at performing spectral unmixing of hyperspectral data acquired by the CRISM instrument. These statistical techniques are proved to be useful when analyzing hyperspectral images in an unsupervised manner, that is, without any a priori on the scene. An original strategy is proposed to discriminate the most suitable techniques for the exploration of Mars based on ground truth data built from independent high resolution imagery
Dessein, Arnaud. "Méthodes Computationnelles en Géométrie de l'Information et Applications Temps Réel au Traitement du Signal Audio." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00768524.
Full textBooks on the topic "Traitement statistique et numérique du signal"
Duflos, Emmanuel. Estimation prédiction: Éléments de cours et exercices résolus. Paris: Éditions Technip, 2000.
Find full textBellanger, Maurice. Traitement numérique du signal: Théorie et pratique. 8th ed. Paris: Dunod, 2006.
Find full textBellanger, Maurice. Traitement numérique du signal: Théorie et pratique. 3rd ed. Paris: Masson, 1987.
Find full textM, Verhoeckx N. A., ed. Traitement numérique du signal: Une introduction : cours et exercices corrigés. 3rd ed. Paris: Dunod, 2003.
Find full textDeluzurieux, Alain. Cours d'électronique numérique et échantillonnée: BTS, IUT, Écoles d'ingénieurs. Paris: Eyrolles, 1991.
Find full textV, Madisetti, ed. Video, speech, and audio signal processing and associated standards. Boca Raton, FL: CRC Press, 2009.
Find full textV, Madisetti, ed. Video, speech, and audio signal processing and associated standards. Boca Raton, FL: CRC Press, 2009.
Find full textBellanger, Maurice. Traitement numérique du signal : Théorie et pratique. Dunod, 2002.
Find full textBook chapters on the topic "Traitement statistique et numérique du signal"
Bellanger, Maurice. "Chapitre 13. Analyse et modélisation." In Traitement numérique du signal, 359–74. Dunod, 2012. http://dx.doi.org/10.3917/dunod.bella.2012.01.0359.
Full textBellanger, Maurice. "Chapitre 11. Filtres QMF et ondelettes." In Traitement numérique du signal, 328–40. Dunod, 2012. http://dx.doi.org/10.3917/dunod.bella.2012.01.0328.
Full textBellanger, Maurice. "Chapitre 1. La numérisation du signal. Échantillonnage et codage." In Traitement numérique du signal, 7–49. Dunod, 2012. http://dx.doi.org/10.3917/dunod.bella.2012.01.0007.
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